No-Reference QoE Prediction Model for Video Streaming Service in 3G Networks

Author(s):  
Xin Yu ◽  
Huifang Chen ◽  
Wendao Zhao ◽  
Lei Xie
2021 ◽  
Author(s):  
Ibraheem Shayea ◽  
Marwan Azmi ◽  
Mustafa Ergen

<p>This paper analysis and investigate the performance of Mobile Broadband (MBB) cellular networks based on the drive tests for suburban areas (at four states) in Malaysia. The data were collected from three main national Mobile Network Operators (MNOs) by using unbranded Samsung Galaxy S6 smartphone handsets, while the period of data collection was between January and February. Two MBB services were considered which are the video streaming and web browsing. For each MNO, the performance data of one MBB service was collected through one a dedicated smartphone. One smartphone was used to browse three different webpages, and One smartphone was employed to stream two YouTube videos with two different resolutions. The study considered four MBB Key Performance Indicators (KPIs), namely: latency, coverage, speed and satisfaction. As per the results, the performance of Fourth Generation (4G) is found superior than that of Third Generation (3G) networks. For instance, a vMOS score of above 3.3 was achieved by 4G networks for MBB video-streaming service, while, score of below 2.6 was attained by 3G networks across all the four studied areas. In addition, it was observed that an enhancement factor of up to 2.86 and 2.83 in download speed was presented by 4G technology in case of video streaming and web page browsing respectively as compared to 3G technology. Examining the performance of current MBB networks is supportive before the deployment of the 5G network. The efficient development of 5G networks in Malaysia can be realized through these study findings, where the existing 4G infrastructures will contribute to supporting the 5G and 6G networks.</p>


2021 ◽  
Author(s):  
Ibraheem Shayea ◽  
Marwan Azmi ◽  
Mustafa Ergen

<p>This paper analysis and investigate the performance of Mobile Broadband (MBB) cellular networks based on the drive tests for suburban areas (at four states) in Malaysia. The data were collected from three main national Mobile Network Operators (MNOs) by using unbranded Samsung Galaxy S6 smartphone handsets, while the period of data collection was between January and February. Two MBB services were considered which are the video streaming and web browsing. For each MNO, the performance data of one MBB service was collected through one a dedicated smartphone. One smartphone was used to browse three different webpages, and One smartphone was employed to stream two YouTube videos with two different resolutions. The study considered four MBB Key Performance Indicators (KPIs), namely: latency, coverage, speed and satisfaction. As per the results, the performance of Fourth Generation (4G) is found superior than that of Third Generation (3G) networks. For instance, a vMOS score of above 3.3 was achieved by 4G networks for MBB video-streaming service, while, score of below 2.6 was attained by 3G networks across all the four studied areas. In addition, it was observed that an enhancement factor of up to 2.86 and 2.83 in download speed was presented by 4G technology in case of video streaming and web page browsing respectively as compared to 3G technology. Examining the performance of current MBB networks is supportive before the deployment of the 5G network. The efficient development of 5G networks in Malaysia can be realized through these study findings, where the existing 4G infrastructures will contribute to supporting the 5G and 6G networks.</p>


2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Iulisloi Zacarias ◽  
Janaína Schwarzrock ◽  
Luciano P. Gaspary ◽  
Andersonn Kohl ◽  
Ricardo Q. A. Fernandes ◽  
...  

Situation awareness in surveillance systems benefits from high-quality video streaming service. This is even more important considering military systems, in which delays in image transmission may have a significant impact on the decision-making process. However, in order to deliver high-quality video streaming service, the required network infrastructure may be prohibitively complex, or even completely impossible to deploy, if mobile data providers are considered. Moreover, the demand for high network throughput poses extra requirements on the network. Considering this context, this paper addresses the problem of highly mobile networks composed of unmanned aerial vehicles (UAVs) as data providers of a military surveillance system. The proposed approach to tackle the problem is based on a Software Defined Networking (SDN) approach aiming at providing the best routes to deliver the data, enhancing the end-user quality of experience. An extensive experimental campaign was performed by means of simulations and the acquired results provide solid evidence of the usefulness of this proposal.


2011 ◽  
Vol 60 (1) ◽  
pp. 47-68 ◽  
Author(s):  
Pin-Chuan Liu ◽  
Jenq-Shiou Leu ◽  
Tsung-Chieh Lee ◽  
Tien-Ho Chen ◽  
Yun-Sun Yee ◽  
...  

Author(s):  
Chung-wei Lee ◽  
Joshua L. Smith

Mobile video streaming is a natural augmentation to today’s thriving Internet video streaming service. With the rapid growth of the capability of mobile handheld devices and abundant bandwidth from high-speed wireless networks, it is expected that mobile video streaming service will soon become a lucrative business section and a thrust for technological advancement on computer and telecommunication industries. In this chapter, essential technical components for constructing mobile video streaming systems are introduced. They include the latest development on broadband wireless technology and video-capable mobile handheld devices. As many modern technologies are often driven by consumer demand, user experience and expectation are discussed from the perspective of mobile video streaming. At the end, several cutting-edge research and development breakthroughs are presented as they may change the future of mobile video streaming systems.


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